Quantum mechanics

Control (management)

Voltage

Engineering

Psychoanalysis

Control engineering

Synchronous motor

Harmonics

Computer science

Adaptive filter

Thermodynamics

Physics

Torque

Psychology

Inverter

Electronic engineering

Artificial intelligence

Observer (physics)

Least mean squares filter

Control theory (sociology)

Compensation (psychology)

Electrical engineering

IEEE Transactions on Industry Applications

This paper presents a new least-mean-square (LMS) algorithm based deadtime compensation method to suppress the current distortion in permanent-magnet synchronous motor (PMSM) field-oriented control (FOC) drives. Compared to conventional average value compensations, the proposed method is robust to switching device parameter variations thanks to the online adaptation capability of the LMS algorithm. Similarly, the disturbance observer compensators are also immune to switching device parameter variations; however, varying motor parameters degrade their compensation performance. Without prior knowledge of switching device or motor parameters, the proposed method can directly reduce the deadtime current harmonics by generating compensation voltage references. In addition, the proposed method is easy to implement since it does not require voltage errors estimation or current harmonics extraction, which are necessary for disturbance observer and adaptive filter based methods. The proposed method is tested on a 2.5-kW voltage-source inverter PMSM drive controlled by an FOC algorithm. Its effectiveness is validated by both experimental results and spectrum analysis.

A New LMS Algorithm Based Deadtime Compensation Method for PMSM FOC Drives